Why One of the Smartest Prompts Is Simply: “Can You Help Me Write a Better Prompt?”

In a world now flooded with AI productivity tools, the most underrated skill isn’t building a custom GPT or chaining a bunch of APIs—it’s knowing how to talk to an LLM.

You’ve probably heard the phrase “prompt engineering” more times than you’ve seen actual prompt engineers. But what if the secret to unlocking more from AI isn’t engineering anything… but just asking better questions?

And even more powerfully: asking the LLM to help you ask better questions.

The Meta Move: Let the LLM Help You Structure the Prompt

Let’s say you’ve got a rough idea:

“I want help writing a CV that works for both human recruiters and AI agents.”

Most people type that in and hope for a one-shot answer.

But here’s a smarter move:

“Can you help me write a better prompt that achieves this goal?”

Boom. You’ve flipped the script. You’re now co-creating with the AI, not just querying it.

The model will likely respond with clarifying questions:

• “Who is the CV for?”

• “What role or industry are you targeting?”

• “Do you want it optimized for ATS parsing, or narrative readability?”

And just like that, you’re in a prompt feedback loop, where each answer makes the next one smarter.

This is how advanced users get more out of LLMs—not by knowing secret tokens or obscure hacks—but by iterating the prompt in partnership with the model itself.

Why This Works

LLMs (like GPT-4, Claude, etc.) don’t “know” anything in the human sense. They’re probability machines trained to predict the next best word.

So the more context, constraints, and structure you give them, the better the output.

But here’s the twist: LLMs are also trained on examples of great prompting. So if you say:

“You’re the world’s best prompt engineer. Help me design a prompt that outputs exactly what I need.”

…it will perform as if it is.

You’re activating a meta-mode, where the model taps into the “prompting about prompting” data it’s trained on. It’s like asking Google how to Google better—except in real-time, with live back-and-forth iteration.

The 5 Best Prompting Tips I Give Intermediate Users

If you’ve moved past “just trying ChatGPT” and want to master prompting as a business, content, or tech professional, here are my go-to tips:

1. Ask the Model to Ask You Questions

Instead of front-loading a paragraph of context, say:

“Ask me a few questions before you answer.”

You’ll get clarity-driven prompting—the AI learns what matters most to you, and you often discover details you hadn’t even thought of.

2. Chain Prompts Using “Let’s Work Step by Step”

Don’t expect magic from a one-shot prompt. Instead, instruct the model to think step-by-step:

“Let’s break this down into three parts: structure, tone, and output format.”

This lets the model plan, think, and reason, rather than just answer.

3. Give Examples—Then Say “Match This Style”

Few things improve output more than:

“Here’s an example of what I like. Write 3 more just like it.”

LLMs excel at style mimicry, especially when given tone, structure, and use cases.

4. Use Roles and Constraints

The magic formula:

“You are a [role]. Your task is to [goal]. Constraints: [bullet list].”

For example:

“You are a LinkedIn branding coach. Your task is to write a headline that makes people want to click. Constraint: must include the word ‘automation’ and stay under 12 words.”

5. Prompt It to Improve Your Prompt

This is the meta-move again:

“Can you improve this prompt for clarity and better results?”

Or, when you're not sure how to start:

“Help me write a prompt that achieves this outcome.”

Let it ask you the questions, restructure the inputs, and produce a cleaner version. It's like having an AI prompt coach at your fingertips.

Don’t Just Use AI—Collaborate With It

Too many people treat LLMs like vending machines:

• Insert prompt

• Wait for magic

• Get disappointed

But the real power is unlocked when you treat them like collaborators—not tools.

You don’t need to be a prompt engineer. You need to think in drafts, talk out loud to the AI, and most importantly, say:

“Ask me a question.”

That phrase alone will double your ROI from LLMs.

Final Thoughts: You Already Know How to Prompt

If you’ve ever written a brief, outlined a task, or given feedback—guess what? You already have the skills.

Prompting is just structured thinking, typed out loud.

The next time you're stuck or unsure how to ask an LLM for something, just prompt with:

“Can you help me write a better prompt?”

And let the conversation begin.

Want to see this in action? Comment “prompt me” below and I’ll help you improve your next one.

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